Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -2.2 * weight + 173
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Sentjens
1
75 kgGiling
4
72 kgSchleck
5
65 kgWiggins
7
76 kgGates
14
71 kgAgergaard
43
69 kgDe Schrooder
45
61 kg
1
75 kgGiling
4
72 kgSchleck
5
65 kgWiggins
7
76 kgGates
14
71 kgAgergaard
43
69 kgDe Schrooder
45
61 kg
Weight (KG) →
Result →
76
61
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SENTJENS Roy | 75 |
| 4 | GILING Bas | 72 |
| 5 | SCHLECK Fränk | 65 |
| 7 | WIGGINS Bradley | 76 |
| 14 | GATES Nick | 71 |
| 43 | AGERGAARD Jesper | 69 |
| 45 | DE SCHROODER Benny | 61 |